Binaural sound source localization method based on sub-band signal to noise ratio estimation

A technology of sound source localization and signal-to-noise ratio, applied in positioning, measuring devices, instruments, etc., can solve the problems of large amount of calculation, large size of microphone array, insufficient positioning performance of noise-containing signals, etc., and achieve the effect of improving performance

Inactive Publication Date: 2012-07-11
SOUTHEAST UNIV
View PDF3 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The problem to be solved by the present invention is: the current multi-microphone array sound source localization algorithm has problems such as large amount of calculation, l...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Binaural sound source localization method based on sub-band signal to noise ratio estimation
  • Binaural sound source localization method based on sub-band signal to noise ratio estimation
  • Binaural sound source localization method based on sub-band signal to noise ratio estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In the present invention, data training is performed first, and the training data is an acoustic signal with a known orientation. After feature extraction, the interaural time difference ITD parameters of each orientation acoustic signal are estimated, and the mean value of the ITD parameters of each orientation multi-frame acoustic signal is used as the orientation ITD parameter. The vector quantization of the parameters of the VQ (Vector Quantization) model is used to establish the azimuth mapping model; when the actual sound source is localized, a two-channel sound signal is input, and the input sound signal is first transformed in the frequency domain, that is, the Fast Fourier Transform FFT (Fast Fourier Transform) , divide several sub-bands in the frequency domain, estimate the SNR of each sub-band, compare the SNR of each sub-band with the set SNR threshold, select the sub-band whose SNR is higher than the SNR threshold, and calculate The sub-band ITD characterist...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A binaural sound source localization method based on sub-band signal to noise ratio estimation is an improved sound source localization method, wherein the mean value of the ITD (Interaural Time Difference) of various orientations is used as the localization characteristic clue for the sound source orientation to build an orientation mapping model; during the actual sound source localization, a dual-channel acoustic signal is input, the input acoustic signal is firstly subjected to frequency domain transformation, a frequency domain is divided into a plurality of sub-bands, signal to noise ratio estimation is carried out in each sub-band, according to the sub-band signal to noise ratio, the power spectrum of the corresponding sub-band is selected to calculate the ITD parameters of each frame, one-by-one match is performed according to the orientation characteristic model built by the ITD characteristic parameters and a training module, and based on the Euclidean distance measurement, the orientation is output. With the binaural sound source localization method, the performance of sound source localization in noisy environments can be improved.

Description

technical field [0001] The invention belongs to the technical field of sound source localization, and relates to a binaural sound source localization method based on sub-band signal-to-noise ratio estimation. Background technique [0002] Sound source localization technology, as an emerging interdisciplinary subject, can help transmit and identify visual information and increase the fidelity of the 3D simulation environment. At present, the main positioning algorithms are multi-microphone array sound source localization algorithm and dual-channel sound source localization algorithm. The sound source localization algorithm of multi-microphone array has problems such as large amount of calculation, large size of microphone array, and the algorithm is greatly disturbed by factors such as reverberation. The sound source localization method based on two-channel sound signals simulates the auditory characteristics of the human ear, and can achieve more accurate sound source local...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01S5/18
Inventor 周琳周菲菲吴镇扬
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products